Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study

Brief report: Aging adult utilization of an mHealth intervention for problem drinking

Alcohol consumption among aging adults is a growing concern due to its potential to exacerbate age-related health conditions. Developing accessible interventions for this demographic is imperative. Mobile health (mHealth) interventions offer a promising avenue, but their effectiveness and engagement among aging adults remain uncertain. This study is a secondary analysis that aimed to compare the utilization and outcomes of an mHealth intervention between aging (50+) and younger adults in a clinical trial of an mHealth intervention (Step Away) for reduced drinking. At the three-month follow-up, both age groups exhibited significant reductions in alcohol consumption and increased readiness for change. Furthermore, aging adults utilized the mHealth intervention significantly more, expressed a higher likelihood of continued use, and rated the intervention higher on the System Usability Scale (SUS). These findings suggest that mHealth interventions for alcohol-related issues can be equally effective for aging adults and that they readily engage with such tools and find them acceptable. This study underscores the potential of mHealth interventions as a viable solution for addressing alcohol-related concerns among aging adults. Further research targeting mHealth interventions tailored specifically to this demographic is warranted. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT04447794, Identifier [NCT04447794].

Testing a Digital Health App for Patients With Alcohol-Associated Liver Disease: Mixed Methods Usability Study

BACKGROUND

Alcohol-associated liver disease (ALD) is increasingly common and associated with serious and costly health consequences. Cessation of drinking can improve ALD morbidity and mortality; however, support for cessation is not routinely offered to those diagnosed with ALD, and continued drinking or resumption of drinking after diagnosis is common. Mobile health (mHealth) has the potential to offer convenient and scalable support for alcohol cessation to those diagnosed with ALD, but mHealth interventions for alcohol cessation have not been designed for or evaluated in a population with ALD.

OBJECTIVE

This study aims to understand how individuals with ALD would perceive and use an mHealth tool for alcohol cessation and to gather their perspectives on potential refinements to the tool that would allow it to better meet their needs.

METHODS

We interviewed 11 individuals who attended clinic visits related to their ALD to elicit their needs related to support for alcohol cessation and views on how mHealth could be applied. After completing initial interviews (pre), participants were provided with access to an mHealth app designed for alcohol cessation, which they used for 1 month. Afterward, they were interviewed again (post) to give feedback on their experiences, including aspects of the app that met their needs and potential refinements. We applied a mixed methods approach, including a qualitative analysis to identify major themes from the interview transcripts and descriptive analyses of use of the app over 1 month.

RESULTS

First, we found that a diagnosis of ALD is perceived as a motivator to quit drinking but that patients had difficulty processing the overwhelming amount of information about ALD they received and finding resources for cessation of alcohol use. Second, we found that the app was perceived as usable and useful for supporting drinking recovery, with patients responding favorably to the self-tracking and motivational components of the app. Finally, patients identified areas in which the app could be adapted to meet the needs of patients with ALD, such as providing information on the medical implications of an ALD diagnosis and how to care for their liver as well as connecting individuals with ALD to one another via a peer-to-peer support forum. Rates of app use were high and sustained across the entire study, with participants using the app a little more than half the days during the study on average and with 100% (11/11) of participants logging in each week.

CONCLUSIONS

Our results highlight the need for convenient access to resources for alcohol cessation after ALD diagnosis and support the potential of an mHealth approach to integrate recovery support into care for ALD. Our findings also highlight the ways the alcohol cessation app should be modified to address ALD-specific concerns.

U.S. veterans' experiences and factors associated with use of a smartphone application to self-manage unhealthy alcohol use

Unhealthy alcohol use is common among Operations Enduring and Iraqi Freedom (OEF/OIF) veterans, yet barriers discourage treatment-seeking. Mobile applications (apps) that deliver alcohol interventions have potential to address these barriers and increase treatment receipt. Few studies have qualitatively assessed users' experiences with apps to manage alcohol use. We assessed OEF/OIF veterans' experiences with Step Away, an app to reduce alcohol-related risks, to identify factors that may influence engagement. This single-arm pilot study recruited OEF/OIF veterans with positive alcohol screens nationwide using mail/telephone. Veterans aged 18-55 who exceeded drinking guidelines and owned an iPhone were eligible. Twenty-one (16 men, 5 women) of 55 participants completed interviews. Interviews were analyzed using thematic analysis. Participants found Step Away easy to use, although setup was time consuming. Participants reported increased awareness of alcohol use, highlighting daily assessment, weekly feedback, goal setting, and high-risk notification features as helpful and associated awareness with an intent to decrease use. Participants described Step Away as informative, with over half reporting they would use it outside of the study and most recommending it. Suggestions for improvement included greater personalization and control over features. Step Away features appear to influence engagement and increase users' awareness about alcohol consumed and factors associated with drinking, as well as intent to change. Assessment, feedback, and customization features of apps may facilitate app engagement. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Opportunities and challenges to enhance the value and uptake of Chief Nursing Informatics Officer (CNIO) Roles in Canada: A Qualitative Study

Clinician informatics leadership has been identified as an essential component of addressing the 'implementation to benefits realization gap' that exists for many digital health technologies. Chief Medical Informatics Officers (CMIOs), and Chief Nursing Informatics Officers (CNIOs) are well-positioned to ensure the success of these initiatives. However, while the CMIO role is fairly well-established in Canada, there is limited uptake of CNIO roles in the country. The main objective of this work is to build on the current progress of the CMIO role and explore how the CNIO role can be best positioned for uptake and value across healthcare organizations in Canada. A qualitative study was conducted. Ten clinician leaders in CMIO, CNIO, and related roles in Canada were interviewed about the value of these roles and strategies for supporting the uptake of the role. This study provides the foundation for future initiatives for supporting and showcasing the value of the CNIO in a digitally enabled healthcare organization.

User types, psycho-social effects and societal trends related to the use of consumer health technologies

Objective

The term consumer health technologies we use in this paper refers to fitness and health apps, wearables and other self-tracking devices that collect health-related data. Our paper aims to bridge the gap between the growing literature base of sociological research and ethical reflection on the (non-intended) effects of consumer health technology use on the psycho-social level, such as stress, responsibilization or a loss of intuitive sense for signs of health or illness. Special consideration should be given to vulnerable individuals, as the positive and negative effects of consumer health technology use may be unequally distributed. This perspective may help to guide policymaking and the responsible development of consumer health technologies.

Methods

Using a narrative review approach, we refer to empirical and theoretical studies dealing with user types and effects related to the use of consumer health technologies. We provide an overview of consumer health technology user typologies and evidence of the unintended psycho-social effects of consumer health technology use. On this basis, we propose a user typology that may serve as a future tool for ethical reflection on negative side effects.

Results

Evidence of the potential negative side effects of consumer health technology use, as presented in the literature, is inconclusive due to the high diversity of consumer health technology users and the way they use consumer health technologies. Our proposed user typology aims to more comprehensively document the diversity of users by incorporating the way in which users identify with and use their self-tracked data, attitudes towards the new technology and social interactions via consumer health technologies, and the purpose and self-determinedness of consumer health technology use.

Conclusions

More systematic and quantitative empirical research on the effects of consumer health technology use in diverse settings and with diverse user types is necessary to inform public health policy. In addition to evidence-based certification of medical consumer health technologies, more practical and flexible ways to protect users from side effects may have to be developed and adopted, especially regarding the increasing number of non-medical consumer health technologies.

Recruiting Military Veterans into Alcohol Misuse Research: The Role of Social Media and Facebook Advertising

Background: The use of digital technology within health care service delivery, monitoring, and research is becoming progressively popular, particularly given the ongoing COVID-19 pandemic. Mobile health (m-health) apps, one form of digital technology, are increasingly being used to promote positive health related behavior change. Therefore, it is important to conduct research to understand the efficacy of m-health apps. The process of participant recruitment is an essential component in producing strong research evidence, along with ensuring an adequately powered sample to conduct meaningful analyses and draw robust conclusions. Methods: In this work we outline and reflect on the strategies used to recruit help-seeking military veterans into an intervention study, which aimed to evaluate the efficacy of an app (Drinks:Ration) to modify behavior in alcohol misusers. Recruitment strategies included through (1) partner organizations and (2) social media and Facebook advertising (ads). Results: Facebook ads were live for a period of 88 days and were viewed by a total audience of 29,416 people. In total 168 military veterans were recruited across all recruitment strategies, meaning that Drinks:Ration exceeded its recruitment targets. Half of the sample (n = 84) were recruited through social media, including Facebook ads. Conclusions: The current article highlighted that targeted Facebook ads were an efficient strategy to recruit military veterans into a digital intervention trial aiming to reduce alcohol consumption because they reduced the amount of time and resources required to contact a large number of potentially eligible individuals for our study. This article acts as a starting point for other researchers to evaluate their recruitment pathways for recruiting military veterans into alcohol misuse research.

Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study

Introduction

Improving effective user engagement with digital mental health tools has become a priority in enabling the value of digital health. With increased interest from the mental health community in embedding digital health tools as part of care delivery, there is a need to examine and identify the essential factors in influencing user engagement with digital mental health tools in clinical care. The current study will use a Delphi approach to gain consensus from individuals with relevant experience and expertise (e.g. patients, clinicians and healthcare administrators) on factors that influence user engagement (i.e. an essential factor).

Methods

Participants will be invited to complete up to four rounds of online surveys. The first round of the Delphi study comprises of reviewing existing factors identified in literature and commenting on whether any factors they believe are important are missing from the list. Subsequent rounds will involve asking participants to rate the perceived impact of each factor in influencing user engagement with digital mental health tools in clinical care contexts. This work is expected to consolidate the perspectives from relevant stakeholders and the academic literature to identify a core set of factors considered essential in influencing user engagement with digital mental health tools in clinical care contexts.

Smartphone-based alcohol interventions: A systematic review on the role of notifications in changing behaviors toward alcohol

Background: Smartphone-based interventions are increasingly being used to facilitate positive behavior change, including reducing alcohol consumption. However, less is known about the effects of notifications to support this change, including intervention engagement and adherence. The aim of this review was to assess the role of notifications in smartphone-based interventions designed to support, manage, or reduce alcohol consumption. Methods: Five electronic databases were searched to identify studies meeting inclusion criteria: (1) studies using a smartphone-based alcohol intervention, (2) the intervention used notifications, and (3) published between 1st January 2007 and 30th April 2021 in English. PROSPERO was searched to identify any completed, ongoing, or planned systematic reviews and meta-analyses of relevance. The reference lists of all included studies were searched. Results: Overall, 14 papers were identified, reporting on 10 different interventions. The strength of the evidence regarding the role and utility of notifications in changing behavior toward alcohol of the reviewed interventions was inconclusive. Only one study drew distinct conclusions about the relationships between notifications and app engagement, and notifications and behavior change. Conclusions: Although there are many smartphone-based interventions to support alcohol reduction, this review highlights a lack of evidence to support the use of notifications (such as push notifications, alerts, prompts, and nudges) used within smartphone interventions for alcohol management aiming to promote positive behavior change. Included studies were limited due to small sample sizes and insufficient follow-up. Evidence for the benefits of smartphone-based alcohol interventions remains promising, but the efficacy of using notifications, especially personalized notifications, within these interventions remain unproven.

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review

BACKGROUND

Self-tracking technologies are widely used in people's daily lives and health care. Academic research on self-tracking and the quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and the quantified self.

OBJECTIVE

Our objective was to identify the state of the art of self-tracking and the quantified self in terms of health and well-being.

METHODS

We have undertaken a systematic literature review on self-tracking and the quantified self in promoting health and well-being. After a rigorous literature search, followed by inclusions, exclusions, and the application of article quality assessment protocols, 67 empirical studies qualified for the review.

RESULTS

Our results demonstrate that prior research has focused on 3 stakeholders with respect to self-tracking and the quantified self, namely end users, patients and people with illnesses, and health care professionals and caregivers. We used these stakeholder groups to cluster the research themes of the reviewed studies. We identified 11 research themes. There are 6 themes under the end-user cluster: user motivation and goal setting, usage and effects of self-tracking, continuance intention and long-term usage, management of personal data, rejection and discontinuance, and user characteristics. The patient and people with illnesses cluster contains three themes: usage experience of patients and people with illnesses, management of patient-generated data, and advantages and disadvantages in the clinical context. The health care professional and caregiver cluster contains two themes: collaboration among patients, health care professionals, and caregivers, and changes in the roles of patients and professionals. Moreover, we classified the future research suggestions given in the literature into 5 directions in terms of research designs and research topics. Finally, based on our reflections on the observations from the review, we suggest four future research directions: (1) users' cognitions and emotions related to processing and interpreting the information produced by tracking devices and apps; (2) the dark side of self-tracking (eg, its adverse psychosocial consequences); (3) self-tracking as a societal phenomenon; and (4) systemic impacts of self-tracking on health care and the actors involved.

CONCLUSIONS

This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise overview of the state of the art of self-tracking and the quantified self.

Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review

Purpose/Significance: Mobile health applications provide a convenient way for users to obtain health information and services. Studying the factors that influence users’ acceptance and use of mobile health applications (apps or Apps) will help to improve users’ actual usage behavior. Method/Process: Based on the literature review method and using the Web of Science core database as the data source, this paper summarizes the relevant research results regarding the influencing factors of the acceptance and use behavior of mobile health application users and makes a systematic review of the influencing factors from the perspectives of the individual, society, and application (app or App) design. Result/Conclusion: In terms of the individual dimension, the users’ behavior is influenced by demographic characteristics and motivations. Social attributes, source credibility, and legal issues all affect user behavior in the social dimension. In the application design dimension, functionality, perceived ease of use and usefulness, security, and cost are the main factors. At the end of the paper, suggestions are given to improve the users’ acceptability of mobile health applications and improve their use behavior.

TECHNOSOCIALITY AND HEALTH PROMOTION IN THE DAILY LIVES OF PRIMARY CARE USERS: A SCOPING REVIEW

ABSTRACT Objective: to map available evidence on the use of technologies by Primary Health Care users in the context of health promotion. Method: this is a scoping review according to Joanna Briggs Institute, and the recommendations of the international guide Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews were followed. The PCC strategy (participants, concept and context) was used. The search in the databases was carried out from January to April 2020. Results: a total of 5,267 studies were retrieved and 28 articles were selected for review. The article origin was diverse, with the largest number being from the United States of America (7), the predominant language is English, the year was 2018 and the level of evidence 2. Studies show that users obtain benefits in health care through the use of technologies. Conclusion: health interventions, using technology, positively impact people’s behavior and lifestyle, focusing on the prevention and control of chronic diseases. It is noteworthy that technologies used in isolation cannot overcome behavioral barriers and their use does not replace one-to-one care and monitoring.

Efficacy of a complex smartphone application for reducing hazardous alcohol consumption: Study protocol for a randomized controlled trial with analysis of in-app user behavior in relation to outcome

OBJECTIVE

The efficacy of alcohol reduction applications is variable, and the underlying factors are largely unknown. The aim of this study is threefold: evaluate the relationship between user engagement and intervention efficacy, investigate the efficacy of the different functions applied, and investigate the efficacy of the intervention application compared to control groups.

METHODS

A randomized controlled trial will be conducted to determine the efficacy of a newly developed smartphone application compared to the controls in reducing alcohol consumption at a 30, 60, 90, 120, 150, and 180 days follow-up. Hazardous drinkers, aged 18 years or older, will be recruited through web articles and will be randomized (blinded to their allocation), to receive one of the two versions of the application (educational or control application) for 30 days, or will be allocated to a wait-list control group. Function usage times will be recorded on a single-user level to determine the association between application usage and efficacy.

RESULTS

Data collection will be completed by July 2020, and follow-up will be completed by January 2021.

CONCLUSIONS

The evaluation of intervention efficacy as a function of user behavior will hopefully contribute to the science of developing more efficient alcohol intervention applications in the future.

Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial

Background

Engagement with digital behavior change interventions (DBCIs) is considered a prerequisite for intervention efficacy. However, in many trials on DBCIs, participants use the intervention either only little or not at all.

Objective

To analyze engagement with a web-based intervention to reduce harmful drinking, we explored (1) whether engagement with a web-based alcohol intervention is related to drinking outcomes, (2) which user characteristics are associated with measures of engagement, and (3) whether reported outcomes are associated with data captured by voluntary intervention questionnaires.

Methods

We analyzed data of the intervention arm of a randomized controlled trial on a DBCI to reduce risky alcohol consumption. Data were collected at baseline (T0), after 90 days (T1), and at the end of the 180-day usage period (T2). Engagement with the intervention was measured via system usage data as well as self-reported usage. Drinking behavior was measured as average daily alcohol consumption as well as the number of binge drinking days. User characteristics included demographics, baseline drinking behavior, readiness to change, alcohol-related outcome expectancies, and alcohol abstinence self-efficacy. Following a bivariate approach, we performed two-tailed Welch’s t tests and Wilcoxon signed rank/Mann-Whitney U tests or calculated correlation coefficients.

Results

The data of 306 users were analyzed. Time spent engaging with the intervention as measured by system usage did not match self-reported usage. Higher self-reported usage was associated with higher reductions in average daily alcohol consumption (T1: ρ=0.39, P<.001; T2: ρ=0.29, P=.015) and in binge drinking days (T1: ρ=0.62, P<.001; T2: ρ=0.3, P=.006). Higher usage was reported from users who were single (T1: P<.001; T2: P<.001), users without children (T1: P<.001; T2: P<.001), users who did not start or finish secondary education (T1: P<.001; T2: P<.001), users without academic education (T1: P<.001; T2: P<.001), and those who worked (T1: P=.001; T2: P=.004). Relationships between self-reported usage and clinical or psychological baseline characteristics were complex. For system usage, the findings were mixed. Reductions in drinking captured by intervention questionnaires were associated with reported outcomes.

Conclusions

Though self-reported usage could be consistently linked to better outcomes and multiple user characteristics, our findings add to the overall inconclusive evidence that can be found throughout the literature. Our findings indicate potential benefits of self-reports as measures of engagement and intervention questionnaires as a basis for tailoring of intervention content. Future studies should adopt a theory-driven approach to engagement research utilizing psychometrically sound self-report questionnaires and include short ecological momentary assessments within the DBCIs.

Trial Registration

German Clinical Trials Register DRKS00006104; https://tinyurl.com/y22oc5jo

Using peers to increase veterans' engagement in a smartphone application for unhealthy alcohol use: A pilot study of acceptability and utility

Mobile apps can only increase access to alcohol treatment if patients actively engage with them. Peers may be able to facilitate such engagement by providing supportive accountability and instruction and encouragement for app use. We developed a protocol for peers to support engagement in the Stand Down app for unhealthy alcohol use in veterans and tested the acceptability and utility of the protocol. Thirty-one veteran primary care patients who screened positive for unhealthy alcohol use and were not currently in addiction treatment were given access to Stand Down for four weeks and concurrently received weekly phone support from a Department of Veterans Affairs peer specialist to facilitate engagement with the app. App usage was extracted daily, and pre/post treatment assessments measured changes in drinking patterns, via the Timeline Followback interview, and satisfaction with care, via quantitative and qualitative approaches. A priori benchmarks for acceptability were surpassed: time spent in the app (M = 93.89 min, SD = 92.1), days of app use (M = 14.05, SD = 8.0), and number of daily interviews completed for tracking progress toward a drinking goal (M = 12.64, SD = 9.7). Global satisfaction, per the Client Satisfaction Questionnaire, was high (M = 26.4 out of 32, SD = 4.5). Pre to post, total standard drinks in the prior 30 days (MPre = 142.7, MPost = 85.6), Drinks Per Drinking Day (MPre = 5.4, MPost = 4.0), and Percent Heavy Drinking Days (MPre = 35.3%, MPost = 20.1%) decreased significantly (ps < .05). Findings indicate that Peer-Supported Stand Down is highly acceptable to veteran primary care patients and may help reduce drinking in this population. A larger controlled trial of this intervention is warranted. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Background

Sustained self-monitoring and self-management behaviors are crucial to maintain optimal health for individuals with type 2 diabetes mellitus (T2DM). As smartphones and mobile health (mHealth) devices become widely available, self-monitoring using mHealth devices is an appealing strategy in support of successful self-management of T2DM. However, research indicates that engagement with mHealth devices decreases over time. Thus, it is important to understand engagement trajectories to provide varying levels of support that can improve self-monitoring and self-management behaviors.

Objective

The aims of this study were to develop (1) digital phenotypes of the self-monitoring behaviors of patients with T2DM based on their engagement trajectory of using multiple mHealth devices, and (2) assess the association of individual digital phenotypes of self-monitoring behaviors with baseline demographic and clinical characteristics.

Methods

This longitudinal observational feasibility study included 60 participants with T2DM who were instructed to monitor their weight, blood glucose, and physical activity using a wireless weight scale, phone-tethered glucometer, and accelerometer, respectively, over 6 months. We used latent class growth analysis (LCGA) with multitrajectory modeling to associate the digital phenotypes of participants’ self-monitoring behaviors based on their engagement trajectories with multiple mHealth devices. Associations between individual characteristics and digital phenotypes on participants’ self-monitoring behavior were assessed by analysis of variance or the Chi square test.

Results

The engagement with accelerometers to monitor daily physical activities was consistently high for all participants over time. Three distinct digital phenotypes were identified based on participants’ engagement with the wireless weight scale and glucometer: (1) low and waning engagement group (24/60, 40%), (2) medium engagement group (20/60, 33%), and (3) consistently high engagement group (16/60, 27%). Participants that were younger, female, nonwhite, had a low income, and with a higher baseline hemoglobin A_1c level were more likely to be in the low and waning engagement group.

Conclusions

We demonstrated how to digitally phenotype individuals’ self-monitoring behavior based on their engagement trajectory with multiple mHealth devices. Distinct self-monitoring behavior groups were identified. Individual demographic and clinical characteristics were associated with different self-monitoring behavior groups. Future research should identify methods to provide tailored support for people with T2DM to help them better monitor and manage their condition.

International Registered Report Identifier (IRRID)

RR2-10.2196/13517

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

BACKGROUND

The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools.

OBJECTIVE

This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults.

METHODS

We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF).

RESULTS

Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E).

CONCLUSIONS

Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps.